Accuracy of speech transmission index predictions based on the reverberation time and signal-to-noise ratio

2014 ◽  
Vol 81 ◽  
pp. 1-14 ◽  
Author(s):  
Laurent Galbrun ◽  
Kivanc Kitapci
Keyword(s):  
Signal To Noise Ratio ◽  
Reverberation Time ◽  
Signal To Noise ◽  
Transmission Index ◽  
Speech Transmission ◽  
Noise Ratio

scholarly journals Children’s Recall of Words Spoken in Their First and Second Language: Effects of Signal-to-Noise Ratio and Reverberation Time

2016 ◽  
Vol 6 ◽  
Author(s):  
Anders Hurtig ◽  
Marijke Keus van de Poll ◽  
Elina P. Pekkola ◽  
Staffan Hygge ◽  
Robert Ljung ◽  
...  
Keyword(s):  
Second Language ◽  
Signal To Noise Ratio ◽  
Reverberation Time ◽  
Signal To Noise ◽  
Language Effects ◽  
Noise Ratio

Chinese speech intelligibility of children in noisy and reverberant environments

2017 ◽  
Vol 27 (10) ◽  
pp. 1357-1363
Author(s):  
Jianxin Peng ◽  
Shengju Wu
Keyword(s):  
Speech Intelligibility ◽  
Signal To Noise Ratio ◽  
Reverberation Time ◽  
Critical Factors ◽  
Older Children ◽  
Signal To Noise ◽  
Wide Range ◽  
Reverberant Environments ◽  
Noise Ratio ◽  
Intelligibility Score

Reverberation time and signal-to-noise ratio in classrooms are critical factors to speech intelligibility. In this study, the combined effect of reverberation time and signal-to-noise ratio on Chinese speech intelligibility of children was investigated in 28 elementary school classrooms in China. The results show that Chinese speech intelligibility scores increase with an increase of signal-to-noise ratio and the age of children, and decrease with an increase of reverberation time in classrooms. Younger children require higher signal-to-noise ratio and shorter reverberation time than older children to understand the speech. The A-weighted signal-to-noise ratio combined with a wide range of reverberation time can be used to predict speech intelligibility score and serve as a criterion for classroom design for elementary schools.

Chinese Syllable and Phoneme Identification in Noise and Reverberation

2015 ◽  
Vol 39 (4) ◽  
pp. 483-488
Author(s):  
Jianxin Peng
Keyword(s):  
Chinese Character ◽  
Signal To Noise Ratio ◽  
Reverberation Time ◽  
Impulse Responses ◽  
Signal To Noise ◽  
Identification Score ◽  
Initial Identification ◽  
Ratio Condition ◽  
Noise Ratio ◽  
Phoneme Identification

Abstract Chinese is a tonal language, which differentiates it from non-tonal languages in the Western countries. A Chinese character consists of an initial, a final, and a tone. In the present study, the effects of noise and reverberation on the Chinese syllable, initial, final, and tone identification in rooms were investigated by using simulated binaural impulse responses through auralization method. The results show that the syllable identification score is the lowest, the tone identification score is the highest, and the initial identification scores are lower than those of the final identification under the same reverberation time and signal-to-noise ratio condition. The Chinese syllable, initial, and final identification scores increase with the increase of signal-to-noise ratio and decrease of the reverberation time. The noise and reverberation have insignificant effects on the Chinese tone identification scores under most room acoustical environments. The statistical relationship between the Chinese syllable articulation and phoneme articulation had been experimentally proved under different noise and reverberation conditions in simulated rooms.

Determination of the Best Emulsion for the Microscopy of Crystals

1981 ◽  
Vol 39 ◽  
pp. 32-33
Author(s):  
David A. Grano ◽  
Kenneth H. Downing
Keyword(s):  
Spatial Frequency ◽  
Information Transfer ◽  
Signal To Noise Ratio ◽  
Experimental Situation ◽  
Photographic Emulsion ◽  
Modulation Transfer ◽  
Signal To Noise ◽  
Frequency Space ◽  
Noise Ratio

The retrieval of high-resolution information from images of biological crystals depends, in part, on the use of the correct photographic emulsion. We have been investigating the information transfer properties of twelve emulsions with a view toward 1) characterizing the emulsions by a few, measurable quantities, and 2) identifying the “best” emulsion of those we have studied for use in any given experimental situation. Because our interests lie in the examination of crystalline specimens, we've chosen to evaluate an emulsion's signal-to-noise ratio (SNR) as a function of spatial frequency and use this as our critereon for determining the best emulsion.The signal-to-noise ratio in frequency space depends on several factors. First, the signal depends on the speed of the emulsion and its modulation transfer function (MTF). By procedures outlined in, MTF's have been found for all the emulsions tested and can be fit by an analytic expression 1/(1+(S/S0)2). Figure 1 shows the experimental data and fitted curve for an emulsion with a better than average MTF. A single parameter, the spatial frequency at which the transfer falls to 50% (S0), characterizes this curve.

Sign in / Sign up

Export Citation Format

Share Document